Move logProbability after probability and before cumulativeProbability
This matches the order in the ContinuousDistribution interface
diff --git a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/DiscreteDistribution.java b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/DiscreteDistribution.java
index 292828c..4c22b8a 100644
--- a/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/DiscreteDistribution.java
+++ b/commons-statistics-distribution/src/main/java/org/apache/commons/statistics/distribution/DiscreteDistribution.java
@@ -25,19 +25,6 @@
/**
* For a random variable {@code X} whose values are distributed according
- * to this distribution, this method returns {@code log(P(X = x))}, where
- * {@code log} is the natural logarithm.
- *
- * @param x Point at which the PMF is evaluated.
- * @return the logarithm of the value of the probability mass function at
- * {@code x}.
- */
- default double logProbability(int x) {
- return Math.log(probability(x));
- }
-
- /**
- * For a random variable {@code X} whose values are distributed according
* to this distribution, this method returns {@code P(X = x)}.
* In other words, this method represents the probability mass function (PMF)
* for the distribution.
@@ -62,6 +49,19 @@
/**
* For a random variable {@code X} whose values are distributed according
+ * to this distribution, this method returns {@code log(P(X = x))}, where
+ * {@code log} is the natural logarithm.
+ *
+ * @param x Point at which the PMF is evaluated.
+ * @return the logarithm of the value of the probability mass function at
+ * {@code x}.
+ */
+ default double logProbability(int x) {
+ return Math.log(probability(x));
+ }
+
+ /**
+ * For a random variable {@code X} whose values are distributed according
* to this distribution, this method returns {@code P(X <= x)}.
* In other, words, this method represents the (cumulative) distribution
* function (CDF) for this distribution.
